April Guo (郭芳竹）

I cut my Snorkel AI run short to take on a new challenge at Galileo - promoting a scalable LLM evaluation framework for AI safety. - Founding Solutions Engineer (Pre-sales). - Built the team from the ground up. - Employee #27. - All customer field engineering. Transitioned responsibilities as CS team ramped up. Now focused on strategic financial services accounts. - Helped company scale 35x revenue in 2 years.

- Manage pre-sales relationships with high-profile clients, including 2 of the top 5 US banks, within the first year of joining. - Led complex and technical sales cycles to land key strategic accounts across financial services and e-commerce. - Serve as a trusted technical advisor and work cross-functionally with Engineering and Product to ensure seamless execution of POCs. - Identify customer pain points, create Proof of Concept work for new features, and influence product roadmaps. - Hired as one of the founding members of the ML Solutions Engineering team, and winner of the company-wide "High Impact" award 6 months after joining. Contributed to 2-3x YoY revenue growth while I was there. Learned from some of the best enterprise GTM operators.

Working for IBM's Consulting division and helping clients to design, build and deploy Machine Learning models to solve complex business problems. Key Project Highlights: - Recruited as the first data scientist in a nationwide project - led the R&D effort in the team as a first-year associate, responsible for designing and implementing every data science initiative on AWS. - Built, trained, and deployed several ML/deep learning algorithms to improve live captioning qualities for a large news broadcasting company in the US, using state-of-the-art open-source libraries such as HuggingFace Transformers, Open AI’s GPT-2, Scikit-Learn, and Tensorflow. - Performed exploratory data analysis using regression, text clustering, and A/B testing for the largest telecommunications company in the US, and identified pain points and improvement opportunities in their customer service workflows that would lead to over $1 million in savings and over 18,000 hours in labor reductions per year. - Led several demo sessions to showcase the ML use cases and one of the designs was later adopted into an accelerator for engaging future clients. Internal Giveback: - Involved in several sales efforts at IBM and provided the initial ML designs for several Fortune 500 clients. - Led the analytics efforts for a non-profit organization in Florida, assisting their voter registration efforts during the 2021 mid-term elections. - Nominated for IBM's Global Business Services Emerging Leaders Program.

On leave